Coding Across Time in Quantized Feedback Systems - PowerPoint PPT Presentation

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Coding Across Time in Quantized Feedback Systems

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Title: Coding Across Time in Quantized Feedback Systems


1
Coding Across Time in Quantized Feedback
Systems Che Lin, Vasanthan Raghavan, and
Venugopal V. Veeravalli
Illinois Center for Wireless Systems
  • 0. Motivations
  • Advantage of MIMO systems can be fully exploited
    only when there is perfect channel state
    information (CSI) at the transmitter.
  • Next generation wireless systems often utilize
    the reverse link feedback to convey CSI to the
    transmitter to enhance overall performance.
  • Codebook-based feedback systems have been
    adopted in latest standards, e.g. 802.11n,
    802.16e, and 3GPP-LTE etc..
  • If the channel varies slowly enough, how can one
    design a good codebook that accounts for the
    redundancy in time?
  • 4. Properties of Optimal LD Codes
  • Uniform code covariance matrices is optimal for
    any amount of channel
  • knowledge at the transmitter.
  • When the transmitter has access of only
    statistical information, optimal spatial power
    allocation excites multiple modes in general.
  • Optimal spatial power allocation is of rank-one
    when there is perfect CSIT.
  • Initial research suggests that optimal spatial
    power allocation is also of rank-one when there
    is any amount of CSI feedback.
  • 6. Coding Across Time
  • With partial CSIT, space-time code can have two
    components one that evolves with the channel,
    and the other that does not.
  • Either component can evolve with time in the
    most general case.
  • In this context, we say that the space-time code
    does not code across time if and only if the
    component that evolves with channel is
    independent of time.
  • 9. Conclusions
  • Uniform code covariance matrices is optimal with
    any amount of CSIT.
  • With any amount of CSIT, rank-one codebooks are
    optimal.
  • Rank-one space-time codes do not code across
    time and greatly reduce complexity
  • for implementation.
  • Therefore, the optimal codes do not code across
    time even with 1 bit of feedback.

1 C. Lin, V. Raghavan, and V. Veeravalli,
Optimal Power Allocation for Linear Dispersion
Codes over Correlated MIMO Channels with Channel
State Feedback, to appear in Globcom 07. 2 C.
Lin and V. Veeravalli, A Limited Feedback Scheme
for Linear Dispersion Codes over Correlated MIMO
Channels, to appear in ICASSP 07, Honolulu,
Hawaii, Apr. 2007. 3 C. Lin and V. Veeravalli,
Optimal Linear Dispersion Codes for Correlated
MIMO Channels, to appear in IEEE Trans. Wireless
Communication.  
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